Papers

6

Total Citations

122

H-Index

4

About

Uwe Gruenefeld is a leading researcher in Human-Robot Interaction (HRI) and Augmented Reality (AR), with a focus on making robots safer, more intuitive, and more accessible. His work centers on communicating robot motion intent—a critical challenge as robots become ubiquitous in homes, care settings, and industry. In his highly cited scoping review (65 citations), Gruenefeld systematically maps how robots can signal their next moves to humans, reducing task failures and fostering trust. He pioneered AR visualizations like "Path, Preview, and Volume" to help users anticipate robot actions, cutting costly downtime in industrial cobots (34 citations). His research also addresses inclusive design: in a 2022 study, he compared visualization techniques to help people with physical impairments understand cobot perception, advancing assistive robotics. Gruenefeld advocates for "keeping the human in the loop" in robot training, arguing for human-assisted simulation data synthesis to improve real-world performance. His recent work on direct gesture control enables natural, interface-free communication with robots. With over 120 total citations, Gruenefeld’s contributions are shaping a future where humans and robots collaborate seamlessly, safely, and equitably.

Research Focus

Key Achievements

4
H-Index
6
Papers
122
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
How to Communicate Robot Motion Intent: A Scoping Review
65 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Duisburg-Essen, Oldenburger Institut für Informatik

Top Papers

  1. 1
  2. 2
    Mind the ARm
    34 citations · 2020
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago